{"id":"W4323295271","doi":"10.1097/rct.0000000000001422","title":"The “Crossing Collection Sign”: A Diagnostic Tool on Spine Magnetic Resonance Imaging For Localizing Cerebrospinal Fluid Leak","year":2023,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Neurosurgical Procedures and Complications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Medicine; Myelography; Leak; Magnetic resonance imaging; Cerebrospinal fluid; Interquartile range; Cerebrospinal fluid leak; Lumbar; Radiology; Institutional review board; Nuclear medicine; Surgery; Spinal cord; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003734128,0.0001665832,0.0002939046,0.0003500591,0.0007968569,0.0002815484,0.0001826335,0.00004126517,0.000004624304],"category_scores_gemma":[0.0002184737,0.0001159139,0.0004252068,0.001302399,0.0001517212,0.00008382699,0.00003928227,0.0002997778,0.000004526053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000484764,"about_ca_system_score_gemma":0.0001151508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001872204,"about_ca_topic_score_gemma":0.000001730034,"domain_scores_codex":[0.9984127,0.00005962557,0.000602295,0.0002168281,0.0003852059,0.000323351],"domain_scores_gemma":[0.998128,0.0008638426,0.0002673145,0.0002267984,0.0003887352,0.0001253052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0021443,0.000829957,0.02357359,0.0003172728,0.0001825115,0.0003979093,0.0002979976,0.001321618,0.009733972,0.001752165,0.09661809,0.8628306],"study_design_scores_gemma":[0.003066425,0.002941858,0.8234128,0.001030481,0.0001640206,0.001190738,0.00003798109,0.0352525,0.0003860729,0.0009852609,0.1313119,0.0002199734],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7344207,0.01458117,0.2112207,0.03255522,0.003637987,0.002423189,0.00002289075,0.0004410582,0.0006971437],"genre_scores_gemma":[0.995226,0.000190809,0.002571707,0.001012449,0.0007499164,0.0000403573,0.000004243807,0.00003291396,0.0001715805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8626106,"threshold_uncertainty_score":0.612886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622535218353785,"score_gpt":0.2766312641208954,"score_spread":0.2604059119373576,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}